Configuration Engineer

LA International
1 year ago
Applications closed

Related Jobs

View all jobs

AI Infrastructure Engineer / MLOps Engineer

Advisory AI Infrastructure / MLOps Engineer

Data Scientist - Featurespace

Data Engineer (Data Science)

Data Engineer (Data Science)

CDI - Data Engineer (Data Science)

Configuration Engineers - SC Cleared

Location: Luton (preferred) or Edinburgh
Duration: 6 months
Level: Various (Engineer/Senior Engineer/Principal Engineer)


We are looking for Configuration Engineers at various levels to join our Aerospace & Defence client at their Luton and Edinburgh locations to play a fundamental role in our Business execution and push the technical boundaries associated with advanced tactical sensing, data fusion, communications, machine learning and defensive aids systems.

This role has a bias toward Software and Model Based Configuration Management.

As an experienced Configuration Engineer, preferably within the Aerospace and Defence Sector; you will be required to discharge the 5 key Configuration activities into IPT's (Integrated Project Teams) across all lifecycle phases of a Programme.

Within this role, you will give clear direction into the IPT on C&DM process and tools, be that at System Requirements, System level, Software, modelling or hardware. In doing so, you must be prepared to 'challenge the norm' and support the IPT's in process tailoring to fit the lifecycle phase and/or context of a Programme.

Responsibilities:

* Drive a pro-active approach to C&DM into IPT's
* Support the Head of Configuration and Data Management in encouraging new ideas and innovative solutions into the IPT and the Line of Business (LoB)
* Resolve C&DM issues within an IPT by making proposals and driving through solutions
* Provide C&DM Basis of Estimate (BoE) into Work packages
* Build and manage Customer and Supplier relationships
* Demonstrate self-management and be able to support the development of other Team Members when required
* Develop and promote knowledge and use of PLM and associated Engineering tools
* Work hand-in-hand with our engineering delivery teams to ensure the Project dataset is maintained and configuration controlled

Essential:

* A good understanding of Configuration Management in accordance with DEF STAN 05-57.
* Excellent practical understanding of the five key elements of Configuration Management:
- Configuration Management Planning including generation and review of CM Plan
- Configuration Identification
- Change Control - Must have had experience in operating Change Control Boards including Configuration status input to the Board
- Configuration Status Accounting with emphasis on the generation of Configuration Baselines
- Verification and Audit (led FCA/PCA)
* Experience with Software Configuration Management at the point of release into the Product structure
* A broad understanding of Configuration Control during Software development
* Provided C&DM input to Design Reviews and Certification (Configuration Baseline Management)
* Configuration Management experience in the development of Safety critical products
* Use of Product Management Tools (essential) - Teamcenter version 13 (Unified) and SAP (Desired)

Desirable:

* Sufficient knowledge to support the Head of C&DM in the continued development of Model based Configuration Management processes
* Ability to conduct verification Audits on Software
* Dimensions Administration

Please send your latest CV


Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.